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- Tasks: Build and manage data pipelines to empower business decisions with accurate data.
- Company: Join a supportive tech company in Edinburgh that values collaboration and innovation.
- Benefits: Enjoy 33 days holiday, flexible working, private healthcare, and a vibrant work culture.
- Other info: Embrace a culture of learning with hack days and opportunities for personal growth.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Experience with modern data tools and strong SQL skills are essential.
The predicted salary is between 53000 - 65000 £ per year.
Department: Engineering
Location: Edinburgh
Compensation: £53,000 - £65,000 / year
Our Analytics Team
The analytics engineering team’s mission is to empower and enable the business to make rigorous and impactful use of data.
The role
Analytics engineers develop and build on our data platform to ensure we collect and make available the data the business needs, while maintaining accuracy and security. They engage with our colleagues to ensure they have the knowledge and skills to work with data effectively, provide support with questions, and carry out detailed analysis applying specialist knowledge when required. We believe in a learning culture and encourage self-development. Our regular company hack days and wiggle weeks provide a great opportunity for analysts to pursue their own ideas and learn new technologies.
Day to day your role will involve:
- Ownership of data pipelines, data warehouse and BI tooling
- Sourcing, modelling and making available data required to underpin the company strategy and day to day activities
- Maintaining the accuracy and security of our data sources
- Managing stakeholder relationships and priorities in your area of focus
- Promoting pragmatic and effective use of data to drive decision-making
- Training stakeholders across the organisation to improve their use of data
- Supporting stakeholders by carrying out analysis requiring specialist knowledge
- Reducing ambiguity or reconciling disagreement between teams
- Encouraging a culture of experimentation and scientific rigour in the organisation
- Developing and mentoring other members of the team
You
Our data platform is AWS based and we use modern tooling based around Dagster, dbt, dlt, Redshift and Looker. Prior experience with these tools is beneficial. However, if you have experience with equivalent tools we’d still love to hear from you. Recruitment is a great chance for us to bring alternate perspectives into the team!
Ideally you’ll have the following skills and experience:
- Proficiency with a modern data platform stack
- You have designed and implemented pipelines to process structured and unstructured data to enable stakeholders to solve business problems
- You can demonstrate proficiency with modern data platform languages and tools such as Python, S3, Redshift, Lambda, Dagster, dbt and dlt
- Business intelligence
- You are proficient in SQL for data modelling and transformation
- You have developed data models to enable stakeholders to self-serve business questions by using BI software such as Looker
- Supporting Decision making
- You have created appropriately designed reports and visualisations to support non-technical audiences
- You have experience designing, running and analysing the results of A/B tests together with business stakeholders
- Stakeholder management
- You have a demonstrable ability to manage your own work backlog in collaboration with leadership and business stakeholders
- You are comfortable working with the team to answer questions from stakeholders
Our work life
We believe in a strong work-life balance, we don’t work long hours (35 hour working week), and we have a fabulous Edinburgh HQ expertly designed for collaboration including high-quality A/V equipment to provide a great experience for distributed teams. At FreeAgent, we support each other and operate a no-blame culture. Our mindset is: work hard, be nice to people, and the rest will sort itself out!
Work pattern for this role
This is a permanent, full time role (Monday to Friday, 9am to 5pm). This role will be based in our Edinburgh office, however there will be an opportunity to adopt hybrid working, under an agreed pattern of 2 days from the office and 3 days at home each week.
Perks
Annual starting salary of £53,000 - £65,000 per annum depending on experience, with room to progress to £72,000 within the band. Our starting salaries typically leave some opportunity for growth within the band as salaries are linked to performance expectations to nurture our culture of fairness, learning and development. We pride ourselves on creating a fantastic place to work, with benefits and perks including (but not limited to!) the following:
- 33 days holiday (and an extra day for each year you’re with us)
- Flexible/hybrid working
- Private health care
- Life assurance
- 5% matched pension contributions
- Summer 4 day weeks (giving you 8 additional days off!)
- Buy-as-you-earn share schemes
- Sabbatical leave (unpaid)
- Cycle to work scheme
- Wellness webinars
- Focused learning time and learning budgets
- Volunteering day
FreeAgent is an equal opportunities employer, and we invest in our people and culture to ensure we have a happy, diverse and high-performing team. We strongly encourage applications from people with varied backgrounds and perspectives. All applicants are considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, age, disability, family or parental status.
Senior Analytics Engineer employer: FreeAgent
Contact Detail:
FreeAgent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by practising common questions and showcasing your skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers. We want to see how you've tackled challenges in the past!
✨Tip Number 3
Show off your passion for data! During interviews, share examples of projects you've worked on, especially those involving AWS, Python, or BI tools like Looker. Let us know how you’ve used data to drive decisions.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in our minds as we make our decision.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data platforms and tools mentioned in the job description. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects where you've designed and implemented data pipelines or created reports. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see your qualifications!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at FreeAgent
✨Know Your Tools
Familiarise yourself with the specific tools mentioned in the job description, like AWS, Dagster, and Looker. If you have experience with similar tools, be ready to discuss how those skills can transfer to this role.
✨Showcase Your Data Skills
Prepare examples of how you've designed and implemented data pipelines or models in the past. Be ready to explain your thought process and the impact your work had on decision-making within your previous teams.
✨Engage with Stakeholders
Think about times when you've successfully managed stakeholder relationships. Be prepared to share how you prioritised their needs and communicated complex data insights to non-technical audiences.
✨Embrace the Learning Culture
Highlight your commitment to continuous learning and self-development. Share any relevant experiences from hack days or projects where you experimented with new technologies, as this aligns with the company's values.